Moisture content assessment of dried Hami jujube using image colour analysis

Moisture content assessment of dried Hami jujube using image colour analysis

To investigate the feasibility of image colour information in predicting the moisture content of dried Hami jujube, the images were obtained under different colour space models, and the colour model component mean and chromaticity frequency sequences of R, G, B, H, S, V, L*, a* and b* were extracted...

Full description

Bibliographic Details
Main Authors: Benxue Ma, Cong Li, Yujie Li, Wenxia Wang, Guowei Yu, Wancheng Dong, Yuanjia Zhang
Format: Article
Language:English
Published: Czech Academy of Agricultural Sciences 2022-01-01
Series:Czech Journal of Food Sciences
Subjects:
chromaticity frequency sequence
colour mean
competitive adaptive reweighted sampling
extreme learning machine
Online Access:https://cjfs.agriculturejournals.cz/artkey/cjf-202201-0004_moisture-content-assessment-of-dried-hami-jujube-using-image-colour-analysis.php

Internet

https://cjfs.agriculturejournals.cz/artkey/cjf-202201-0004_moisture-content-assessment-of-dried-hami-jujube-using-image-colour-analysis.php

Similar Items